ROLE OF BIG DATA AND LEARNING ANALYTICS IN PERSONALIZED LEARNING

Abstract

By facilitating data-driven decision-making in educational contexts, the combination of Big Data and Learning Analytics has completely transformed personalized learning. Teachers can anticipate student performance, find learning patterns, and customize educational content by gathering, evaluating, and understanding enormous volumes of student data. This improves learning paths, raises engagement, and provides early intervention for students who are at danger. Furthermore, artificial intelligence and machine learning algorithms are essential for improving adaptive learning systems. Notwithstanding its benefits, issues including data privacy, moral dilemmas, and the demand for qualified experts still exist. This study examines the revolutionary effects of learning analytics and big data on individualized instruction, as well as potential future ramifications.